Detecting regular and chaotic behaviour in the parameter space by generalised statistical complexity measures

B. Godó, A. Nagy

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Abstract Regular and chaotic behaviour are distinguished in the parameter space by generalised complexity measures for the Henon and Tinkerbell maps. The generalised complexity measure provides a much simpler way of detecting chaotic behaviour than the Lyapunov exponent.

Original languageEnglish
Article number7721
Pages (from-to)26-32
Number of pages7
JournalChaos, Solitons and Fractals
Volume78
DOIs
Publication statusPublished - Jul 27 2015

Fingerprint

Complexity Measure
Chaotic Behavior
Parameter Space
Lyapunov Exponent

Keywords

  • Generalised statistical complexity
  • Hénon map
  • Tinkerbell map

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Detecting regular and chaotic behaviour in the parameter space by generalised statistical complexity measures. / Godó, B.; Nagy, A.

In: Chaos, Solitons and Fractals, Vol. 78, 7721, 27.07.2015, p. 26-32.

Research output: Contribution to journalArticle

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